Migration Deconvolution vs Least Squares Migration Jianhua Yu, Gerard T. Schuster University of...
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Transcript of Migration Deconvolution vs Least Squares Migration Jianhua Yu, Gerard T. Schuster University of...
Migration Deconvolution vs Least Squares Migration
Jianhua Yu, Gerard T. Schuster
University of Utah
OutlineOutline• MotivationMotivation
• MD vs. LSMMD vs. LSM
• Numerical TestsNumerical Tests
• ConclusionsConclusions
Migration ProblemsMigration Problems
Recording footprintsRecording footprints
AliasingAliasing
Limited resolutionLimited resolution
Amplitude distortionAmplitude distortion
MotivationMotivation
Investigate MD and LSM:
Improve resolution
Suppress migration noiseComputational cost
Robustness
OutlineOutline• MotivationMotivation
• MD vs. LSMMD vs. LSM
• Numerical TestsNumerical Tests
• ConclusionsConclusions
m = (m = (L L L L )) L L ddTTTT -1
Least Squares Migration
Reflectivity
Modeling operator
Seismic data
Migration operator
m = (m = (L L L L )) L L ddTTTT -1
Migration Deconvolution
Reflectivity
Modeling operator
Migrated data
m’m’
Solutions of MD Vs. LSMSolutions of MD Vs. LSM
m = (m = (L L L L )) L L ddTTTT -1LSM:
TTmm = ( = (L LL L ) ) mm’’
-1-1 MD:
Migrated image
Data
I/O of 3-D MD Vs. LSMI/O of 3-D MD Vs. LSM
Huge volumeHuge volume LSM:
Relative samll cubeRelative samll cube MD:
OutlineOutline• MotivationMotivation
• MD Vs. LSMMD Vs. LSM
• Numerical TestsNumerical Tests
• ConclusionsConclusions
Numerical TestsNumerical Tests
• Point Scatterer ModelPoint Scatterer Model
• 2-D SEG/EAGE overthrust model 2-D SEG/EAGE overthrust model poststack MD and LSMpoststack MD and LSM
• Point Scatterer ModelPoint Scatterer Model
• 2-D SEG/EAGE Overthrust Model 2-D SEG/EAGE Overthrust Model Poststack MD and LSMPoststack MD and LSM
Numerical TestsNumerical Tests
OutlineOutline• MotivationMotivation
• MD Vs. LSMMD Vs. LSM
• Numerical TestsNumerical Tests
• ConclusionsConclusions
ConclusionsConclusions
Efficiency MD >> LSM
FunctionFunction PerformancPerformanceeResolutionResolution MD < LSM (?)MD < LSM (?)
Suppressing noise MD = LSM (?)
Robustness MD < LSM